₹254.30
-0.650 (-0.255%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹244.20 | ₹330.40 | Friday, 31st Jul 2026 GODIGIT.NS stock ended at ₹254.30. This is 0.255% less than the trading day before Thursday, 30th Jul 2026. During the day the stock fluctuated 1.69% from a day low at ₹251.60 to a day high of ₹255.85. |
| 90 days | ₹244.20 | ₹333.90 | |
| 52 weeks | ₹244.20 | ₹381.40 |
Historical Go Digit General Ins Ltd prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | ₹255.85 | ₹255.85 | ₹251.60 | ₹254.30 | 219 198 |
| Jul 30, 2026 | ₹258.00 | ₹258.25 | ₹251.55 | ₹254.95 | 1 323 689 |
| Jul 29, 2026 | ₹248.00 | ₹254.60 | ₹245.00 | ₹253.15 | 964 447 |
| Jul 28, 2026 | ₹255.00 | ₹255.00 | ₹244.20 | ₹245.65 | 919 610 |
| Jul 27, 2026 | ₹256.35 | ₹258.85 | ₹247.35 | ₹254.80 | 2 772 450 |
| Jul 24, 2026 | ₹271.35 | ₹274.90 | ₹253.00 | ₹256.20 | 4 578 820 |
| Jul 23, 2026 | ₹288.80 | ₹288.80 | ₹278.20 | ₹280.85 | 377 806 |
| Jul 22, 2026 | ₹287.80 | ₹287.80 | ₹279.45 | ₹283.00 | 306 946 |
| Jul 21, 2026 | ₹283.00 | ₹286.00 | ₹279.40 | ₹285.05 | 688 555 |
| Jul 20, 2026 | ₹281.00 | ₹286.25 | ₹277.80 | ₹280.90 | 2 131 594 |
| Jul 17, 2026 | ₹283.00 | ₹285.80 | ₹280.50 | ₹281.90 | 762 994 |
| Jul 16, 2026 | ₹292.00 | ₹297.20 | ₹284.30 | ₹284.90 | 1 782 683 |
| Jul 15, 2026 | ₹307.80 | ₹308.35 | ₹297.20 | ₹298.65 | 261 094 |
| Jul 14, 2026 | ₹301.05 | ₹310.15 | ₹299.00 | ₹307.80 | 315 382 |
| Jul 13, 2026 | ₹311.85 | ₹311.85 | ₹302.00 | ₹303.30 | 378 830 |
| Jul 10, 2026 | ₹302.05 | ₹316.00 | ₹301.10 | ₹312.00 | 367 340 |
| Jul 09, 2026 | ₹301.50 | ₹306.90 | ₹301.00 | ₹301.85 | 125 396 |
| Jul 08, 2026 | ₹306.00 | ₹309.20 | ₹301.00 | ₹302.80 | 179 421 |
| Jul 07, 2026 | ₹312.95 | ₹312.95 | ₹307.25 | ₹311.15 | 125 658 |
| Jul 06, 2026 | ₹313.60 | ₹313.80 | ₹308.80 | ₹312.10 | 92 748 |
| Jul 03, 2026 | ₹316.70 | ₹316.70 | ₹311.60 | ₹313.55 | 111 074 |
| Jul 02, 2026 | ₹316.05 | ₹318.00 | ₹311.00 | ₹313.25 | 254 707 |
| Jul 01, 2026 | ₹322.10 | ₹330.40 | ₹314.15 | ₹316.05 | 480 048 |
| Jun 30, 2026 | ₹320.95 | ₹328.00 | ₹314.60 | ₹322.75 | 979 215 |
| Jun 29, 2026 | ₹314.85 | ₹332.95 | ₹314.10 | ₹319.75 | 4 435 518 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use GODIGIT.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the GODIGIT.NS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the GODIGIT.NS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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